Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
Next-generation surveys like the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory (Rubin) will generate orders of magnitude more discoveries of transients and variable stars than previous surveys. To prepare for this data deluge, we developed the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC), a competition that aimed to catalyze the development of robust classifiers under LSST-like conditions of a nonrepresentative training set for a large photometric test set of imbalanced classes. Over 1000 teams participated in PLAsTiCC, which was hosted in the Kaggle data science competition platform between 2018 September 28 and 2018 December 17, ultimately identifying three winners in 2019 February. Participants produced classifiers employing a diverse set of machine-learning techniques including hybrid combinations and ensemble averages of a range of approaches, among them boosted decision trees, neural networks, and multilayer perceptrons. The strong performance of the top three classifiers on Type Ia supernovae and kilonovae represent a major improvement over the current state of the art within astronomy. This paper summarizes the most promising methods and evaluates their results in detail, highlighting future directions both for classifier development and simulation needs for a next-generation PLAsTiCC data set.
- Research Organization:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF); National Science Foundation (NSF)
- Contributing Organization:
- LSST Dark Energy Science Collaboration
- Grant/Contract Number:
- AC02-1408 05CH1123; AC02-76SF00515; 1448 AC02-05CH1123; SC0011636; AC02-05CH11231; AST-1615455
- OSTI ID:
- 1991984
- Alternate ID(s):
- OSTI ID: 1999242; OSTI ID: 2007180
- Journal Information:
- The Astrophysical Journal. Supplement Series, Journal Name: The Astrophysical Journal. Supplement Series Vol. 267 Journal Issue: 2; ISSN 0067-0049
- Publisher:
- American Astronomical SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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